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. 2021 Jun 3:11:686726.
doi: 10.3389/fonc.2021.686726. eCollection 2021.

Knowledge Domain and Emerging Trends in Ferroptosis Research: A Bibliometric and Knowledge-Map Analysis

Jie Zhang  1   2 , Luxia Song  1   2 , Liyan Xu  3 , Yixuan Fan  1   2 , Tong Wang  1   2 , Wende Tian  2   4 , Jianqing Ju  2 , Hao Xu  2
Affiliations

Knowledge Domain and Emerging Trends in Ferroptosis Research: A Bibliometric and Knowledge-Map Analysis

Jie Zhang et al. Front Oncol. .

Abstract

Objectives: To identify the cooperation and impact of authors, countries, institutions, and journals, evaluate the knowledge base, find the hotspot trends, and detect the emerging topics regarding ferroptosis research.

Methods: The articles and reviews related to ferroptosis were obtained from the Web of Science Core Collection on November 1, 2020. Two scientometric software (CiteSpace 5.7 and VOSviewer 1.6.15) were used to perform bibliometric and knowledge-map analysis.

Results: A total of 1,267 papers were included, in 466 academic journals by 6,867 authors in 438 institutions from 61 countries/regions. The ferroptosis-related publications were increasing rapidly. Cell Death & Disease published the most papers on ferroptosis, while Cell was the top co-cited journal, publication journals and co-cited journals were major in the molecular and biology fields. The United States and China were the most productive countries; meanwhile, the University of Pittsburgh, Columbia University and Guangzhou Medical University were the most active institutions. Brent R Stockwell published the most papers, while Scott J Dixon had the most co-citations; simultaneously, active cooperation existed in ferroptosis researchers. Ten references on reviews, mechanisms, and diseases were regarded as the knowledge base. Five main aspects of ferroptosis research included regulation mechanisms, nervous system injury, cancer, relationships with other types of cell death, and lipid peroxidation. The latest hotspots were nanoparticle, cancer therapy, iron metabolism, and in-depth mechanism. Notably Nrf2 might have turning significance. The emerging topics on ferroptosis research were the further molecular mechanism of ferroptosis and the wider application of ferroptosis-related disease with advanced technology.

Conclusion: This study performed a full overview of the ferroptosis research using bibliometric and visual methods. The information would provide helpful references for scholars focusing on ferroptosis.

Keywords: CiteSpace; VOSviewer; bibliometric; ferroptosis; knowledge-map.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Annual output of ferroptosis research.
Figure 2
Figure 2
The dual-map overlay of journals related to ferroptosis research. Notes: The citing journals were at left, the cited journals were on the right, and the colored path represents citation relationship.
Figure 3
Figure 3
The co-occurrence map of (A) countries/regions and (B) institutions in ferroptosis research (T≥20). Notes: The size of node reflects the co-occurrence frequencies, and the links indicate the co-occurrence relationships. The color of node and line represents different years, colors vary from purple to red as time goes from 2012 to 2020; and node with purple round means high betweenness centrality (>0.1).
Figure 4
Figure 4
The co-occurrence map of authors in ferroptosis research (T≥5). Notes: The size of node reflects the author’s co-occurrence frequencies, the link indicate the co-occurrence relationship between authors, and the same color of node represent the same cluster.
Figure 5
Figure 5
The density map of co-cited authors in ferroptosis research (≥100). Notes: The size of word, the size of round, and the opacity of yellow is positively related to the co-cited frequency.
Figure 6
Figure 6
The density map of terms in ferroptosis research (T≥10, relevance score ≥0.081) Notes: The size of word, the size of round, and the opacity of yellow is positively related to the co-occurrence frequency.
Figure 7
Figure 7
Terms co-occurrence network and clusters in ferroptosis research (T≥10, relevance score ≥0.081, contains 357 items, 5 clusters and 25,151links; max lines = 200.). Notes: The size of node and word reflects the co-occurrence frequencies, the link indicate the co-occurrence relationship, and the same color of node represent the same cluster.
Figure 8
Figure 8
Keywords timezone view of ferroptosis research. Notes: In 2012-2015, keywords with co-occurrence ≥50 were showed; In 2016-2019, the annual top3 keywords were showed with its co-occurrence frequency. The size of cross and word reflects the co-occurrence frequencies, the link indicate the co-occurrence relationship. The color of node and line represents different years, colors vary from purple to red as time goes from 2012 to 2020.
Figure 9
Figure 9
Top 55 references with the strongest citation bursts (sorted by the beginning year of burst). Notes: The Blue bars mean the reference had been published; the red bars mean citation burstness.
See this image and copyright information in PMC

References

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